Research Opportunities Research Articles

Natural fiber reinforced cementitious composites; materials, compatibility issues and future perspectives

ABSTRACT Research on the sustainable production of building materials has been increasing from time to time. The construction industry is one of the sectors that leads to the depletion of significant amounts of nonrenewable resources, such as minerals. The ecosystem is deteriorated, and carbon dioxide (CO2) emissions are enormous in the environment due to the use of fossil fuel-based materials. The purpose of this paper is to review the use of plant fibers (hereafter NF) for reinforcement in cementitious concrete. Concrete, plant fibers, their chemical nature, and characteristics are highlighted in an overview. The most important issues in NF-concrete compatibility were discussed, which could provide research opportunities. Modification of NFs and the cement matrix are examined as methods for improving compatibility and degradation. Moreover, the properties and longevity of cementitious materials that are reinforced with natural fibers are also examined. Finally, the review emphasizes the significant research gaps and future research prospects identified in the reviewed papers.

Deep learning models security: A systematic review

Deep learning models and the digital records they generate have remarkably increased their adoption of many practical applications. While the success of deep learning in multimedia applications, especially images, helps tackle some of the most challenging problems, one of its copyright violations, ownership conflict, poses a grave concern for many potential applications. Many works on intellectual property protection for such models have proposed to verify ownership. Therefore, it is necessary to conduct a comprehensive study on the security of deep learning models to evaluate their strong background, state-of-the-art solutions, possible attacks, current limitations and notable improvements. This survey attempts to systematically discuss and summarise the recent advanced security solutions for deep learning models through watermarking, encryption and fingerprinting. Our study explores the recent applications, possible attacks, current limitations and notable suggestions regarding deep learning. It also comprehensively evaluates the recent research gaps and opportunities in detail to empower researchers and practitioners to provide additional secure solutions for deep learning models. This extensive survey is the first to consider model security through several notable techniques.

Second Life for Recycled Concrete and Other Construction and Demolition Waste in Mortars for Masonry: Full Scope of Material Properties, Performance, and Environmental Aspects

This review presents the scope of current efforts to utilize recycled construction and demolition waste in mortars for masonry. More than 100 articles are divided into groups pertaining to the type of mortar, different binder systems, the type of construction and demolition waste (CDW), and its utilization specifics. Cement-based mortars dominate this research domain, whereas recycled concrete is the main material employed to replace virgin aggregates, followed by recycled masonry and recycled mixed waste aggregates. Such application in cement-based mortars could increase water demand by 20–34% and reduce strength by 11–50%, with recycled concrete aggregates being the most favorable. Natural aggregate substitution is disadvantageous in strong mortars, whereas weaker ones, such as lime-based mortars, could benefit from this incorporation. The extent of this topic also suggests possibilities for different recycled material use cases in mortars for masonry, although the available literature is largely insufficient to infer meaningful trends. Nonetheless, the most relevant knowledge synthesized in this review offers promising and environment-conscious utilization pathways for recycled concrete and other construction and demolition waste, which brings opportunities for further research on their use in mortars for masonry and industrial-scale applications.

Parental burnout assessment: Validation in Indonesian parents

ObjectiveIn the last fifteen years, there has been a growing global focus on parental burnout due to its negative impact on parents, partners, and children. The Parental Burnout Assessment (PBA) is the established measurement to assess parental burnout and has been validated in various languages. Nevertheless, the Indonesian version of PBA is not available. The present study validated the Parental Burnout Assessment (PBA) in Indonesian parents. MethodsData were analyzed with 679 Indonesian parents (mothers= 593, fathers= 86) aged 22–66 (mean= 38.07, SD= 7.91). Participants were recruited through social media. ResultsConfirmatory Factor Analysis confirmed a good fit of data confirming the original four-factor model (CFA (χ2 (679=959.553, df=212, p = .000; CFI=0.93; GFI=0.894; RMSEA= 0.072; CI=0.067; 0.077; SRMR = 0.05; TLI= 0.917). Results revealed good internal consistency for the overall score (α = 0.93) and its dimensions (emotional exhausted= 0.86; contrast= 0.86; feeling of being fed up= 0.89), except for emotional distancing (α = 0.53). The Indonesian version of PBA also revealed good psychometric properties for construct validity, with measures of emotional well-being, parenting stress, and aloneliness (rpositive affect= -0.58; rnegative affect= 0.60; rparental stress= 0.64; raloneliness= 0.59). ConclusionThe results support its relevance for assessing parental burnout among Indonesian-speaking parents, offering new opportunities for cross-cultural research and clinical diagnosis in the parenting domain. Our research confirms the reliability and validity of the Indonesian adaptation of the Parental Burnout Assessment (PBA-ID). These findings underscore the relevance of the PBA-ID within the Indonesian setting, offering significant implications for mental health assessment and intervention strategies.

The use of drones for studying the behaviour of mammals

Since the advent and wide use of unmanned aerial vehicles (UAVs), they have been increasingly useful in monitoring the abundance, distribution and behaviour of terrestrial and aquatic animals. At present, this technique is actively applied to mammal research. The diversity and relative availability of drones allows for a variety of research tasks to be achieved. The use of UAVs has its advantages and disadvantages, these being discussed in the present review. The study examines the advantages of using UAVs in comparison to other methods, identifies new research opportunities opened up by drones, and emphasizes the advantages of modern analytical tools. The technical limitations of UAVs and the problem of the negative impact of this technique on mammals are discussed. The need to minimize the disturbance of animals during such research is emphasized. In addition, the work summarizes the experience of using UAVs in the studies on Russia’s theriofauna.

Manufacturing strategies for highly sensitive and self-powered piezoelectric and triboelectric tactile sensors

Abstract Piezoelectric and triboelectric effects are of growing interest for facilitating high-sensitivity and self-powered tactile sensor applications. The working principles of piezoelectric and triboelectric nanogenerators provide strategies for enhancing output voltage signals to achieve high sensitivity. Increasing the piezoelectric constant and surface triboelectric charge density are key factors in this enhancement. Methods such as annealing processes, doping techniques, grain orientation controls, crystallinity controls, and composite structures can effectively enhance the piezoelectric constant. For increasing triboelectric output, surface plasma treatment, charge injection, microstructuring, control of dielectric constant, and structural modification are effective methods. The fabrication methods present significant opportunities in tactile sensor applications. This review article summarizes the overall piezoelectric and triboelectric fabrication processes from materials to device aspects. It highlights applications in pressure, touch, bending, texture, distance, and material recognition sensors. The conclusion section addresses challenges and research opportunities, such as limited flexibility, stretchability, decoupling from multi-stimuli, multifunctional sensors, and data processing.

Rare-Earth Metal-Based Materials for Hydrogen Storage: Progress, Challenges, and Future Perspectives.

Rare-earth-metal-based materials have emerged as frontrunners in the quest for high-performance hydrogen storage solutions, offering a paradigm shift in clean energy technologies. This comprehensive review delves into the cutting-edge advancements, challenges, and future prospects of these materials, providing a roadmap for their development and implementation. By elucidating the fundamental principles, synthesis methods, characterization techniques, and performance enhancement strategies, we unveil the immense potential of rare-earth metals in revolutionizing hydrogen storage. The unique electronic structure and hydrogen affinity of these elements enable diverse storage mechanisms, including chemisorption, physisorption, and hydride formation. Through rational design, nanostructuring, surface modification, and catalytic doping, the hydrogen storage capacity, kinetics, and thermodynamics of rare-earth-metal-based materials can be significantly enhanced. However, challenges such as cost, scalability, and long-term stability need to be addressed for their widespread adoption. This review not only presents a critical analysis of the state-of-the-art but also highlights the opportunities for multidisciplinary research and innovation. By harnessing the synergies between materials science, nanotechnology, and computational modeling, rare-earth-metal-based hydrogen storage materials are poised to accelerate the transition towards a sustainable hydrogen economy, ushering in a new era of clean energy solutions.

DIGITAL TEACHING MATERIAL OF SUSTAINABLE LIFESTYLE THEME WITH ETHNO-PJBL TO PROMOTE STUDENTS’ KNOWLEDGE AND CREATIVE THINKING ABILITIES

Purpose: This study aims to analyze the effects of digital teaching materials on the theme of sustainable lifestyle integrated with Ethno-PjBL on knowledge and creative thinking skills in learning in the Merdeka Curriculum. Theoretical Framework: The idea behind the development of digital learning materials on the theme of sustainable lifestyle is to promote awareness and practice of sustainability among students through the integration of technology in learning. By combining a project-based learning model enriched by local cultural values (Ethno-PjBL), students are not only invited to understand the concept of sustainable lifestyle, but also how to apply it in their cultural context. Method: This study used a quasi-experimental method with a posttest only control group design. The sample of this study was grade X students at SMAN Kota Jambi, with the experimental class using integrated digital teaching materials ethno-PjBL and the control class using conventional learning methods. Data were analyzed using descriptive statistical tests, Kolmogorov-Smirnov normality tests, and Mann-Whitney tests. Results and Discussion: Digital teaching materials on sustainable lifestyle themes integrated with ethno-PjBL have a positive impact on students' knowledge and creative thinking skills. The experimental class using the digital teaching materials showed better results compared to the control class using conventional learning methods. Research Implications: The results of this study support the integration of sustainable lifestyle-themed digital teaching materials with the Ethno-PjBL approach, which not only strengthens students' academic knowledge, but also fosters creative thinking skills and awareness of local cultural values. The findings of this study can encourage educators and policy makers to further adopt and develop contextual and relevant digital teaching materials, especially those that focus on global issues such as sustainability, but are still integrated with local wisdom. The implications of this study also open up opportunities for further research to explore the potential of digital teaching materials in other subjects or at different levels of education.

Comparative efficacy of PsyPills and OCAT mobile psychological interventions in reducing depressive, anxiety and stress symptoms: A blinded randomized clinical trial

BackgroundDigital applications, such as in smartphone apps format, have shown high suggestive evidence for their efficacy in reducing general distress, but rigorous studies of their efficacy in symptom change and the mechanisms involved are still needed. MethodsIn the current multi-arm parallel-group randomized trial, participants aged 18–65 with smartphone access were recruited through social media. They were randomly assigned to two app interventions (PsyPills and OCAT) or an active placebo group (shamOCAT). The primary outcome was psychological distress measured up to one month. ResultsA total of 229 participants from diverse regional and demographic groups of the general population of Romania were randomly allocated into the three groups (PsyPills n = 80; OCAT n = 70; shamOCAT n = 79) and included in intention-to-treat analyses. Both the PsyPills (MD = −522; 95%CI = −10.00 to −0.44; d = 0.48) and OCAT (MD = −6.30; 95%CI = −11.39 to −1.21; d = 0.58) reduced significantly, with medium effect sizes, the psychological distress levels compared with the control group at follow-up. For the separate outcomes, only PsyPills showed significant medium reduction effects for anxiety symptoms (MD = −2.17; 95%CI = −3.83 to −0.50; d = −0.60), while OCAT showed reduction effects of small size for depression (MD = −1.50 (95%CI = −3.53 to 0.54, d = −0.34), that was however statistically nonsignificant. LimitationsWe registered high attrition and low adherence rates. Also, lower-than-planned effects might have been statistically underpowered to detect. ConclusionThe results support the high potential of both apps as scalable tools to provide low-intensity self-guided interventions for common psychological problems in the general population and expand opportunities for further research (e.g., confirm and capitulate on the differential effects).

Cannabis and Cannabinoid Signaling: Research Gaps and Opportunities.

Cannabis and its products have been used for centuries for both medicinal and recreational purposes. The recent widespread legalization of cannabis has vastly expanded its use in the United States across all demographics except for adolescents. Meanwhile, decades of research have advanced our knowledge of cannabis pharmacology and particularly of the endocannabinoid system with which the components of cannabis interact. This research has revealed multiple targets and approaches for manipulating the system for therapeutic use and to ameliorate cannabis toxicity or cannabis use disorder. Research has also led to new questions that underscore the potential risks of its widespread use, particularly the enduring consequences of exposure during critical windows of brain development or for consumption of large daily doses of cannabis with high content Δ 9-tetrahydrocannabinol. This article highlights current neuroscience research on cannabis that has shed light on therapeutic opportunities and potential adverse consequences of misuse and points to gaps in knowledge that can guide future research. SIGNIFICANCE STATEMENT: Cannabis use has escalated with its increased availability. Here, the authors highlight the challenges of cannabis research and the gaps in our knowledge of cannabis pharmacology and of the endocannabinoid system that it targets. Future research that addresses these gaps is needed so that the endocannabinoid system can be leveraged for safe and effective use.

AffectiVR: A Database for Periocular Identification and Valence and Arousal Evaluation in Virtual Reality

This study introduces AffectiVR, a dataset designed for periocular biometric authentication and emotion evaluation in virtual reality (VR) environments. To maximize immersion in VR environments, interactions must be seamless and natural, with unobtrusive authentication and emotion recognition technologies playing a crucial role. This study proposes a method for user authentication by utilizing periocular images captured by a camera attached to a VR headset. Existing datasets have lacked periocular images acquired in VR environments, limiting their practical application. To address this, periocular images were collected from 100 participants using the HTC Vive Pro and Pupil Labs infrared cameras in a VR environment. Participants also watched seven emotion-inducing videos, and emotional evaluations for each video were conducted. The final dataset comprises 1988 monocular videos and corresponding self-assessment manikin (SAM) evaluations for each experimental video. This study also presents a baseline study to evaluate the performance of biometric authentication using the collected dataset. A deep learning model was used to analyze the performance of biometric authentication based on periocular data collected in a VR environment, confirming the potential for implicit and continuous authentication. The high-resolution periocular images collected in this study provide valuable data not only for user authentication but also for emotion evaluation research. The dataset developed in this study can be used to enhance user immersion in VR environments and as a foundational resource for advancing emotion recognition and authentication technologies in fields such as education, therapy, and entertainment. This dataset offers new research opportunities for non-invasive continuous authentication and emotion recognition in VR environments, and it is expected to significantly contribute to the future development of related technologies.

Morphological characterization of the hippocampus: a first database in Ecuador.

The hippocampal volume is a well-known biomarker to detect and diagnose neurological, psychiatric, and psychological diseases. However, other morphological descriptors are not analyzed. Furthermore, not available databases, or studies, were found with information related to the hippocampal morphology from Latin-American patients living in the Andean highlands. The hippocampus is manually segmented by two medical imaging specialists on normal brain magnetic resonance images. Then, its morphological qualitative and quantitative descriptors (volume, sphericity, roundness, diameter, volume-surface ratio, and aspect ratio) are computed via 3D digital level-set-based mathematical representation. Furthermore, other morphological descriptors and their possible correlation with the hippocampal volume is analyzed. We introduce a first database with the hippocampus' morphological characterization of 63 patients from Quito, Ecuador, male and female, aged between 18 and 95 years old. This study provides new research opportunities to neurologists, psychologists, and psychiatrists, to further understand the hippocampal morphology of Andean and Latin American patients.

Understanding school discipline and exclusion in Australia: key issues

AbstractExclusionary school discipline is an emerging field of research in Australia, whereas it is more established in contexts such as the United States and United Kingdom. In this article we, therefore, seek to understand how exclusionary school discipline has been examined by Australian education researchers working across a range of disciplines. We conducted a critical literature review, analysing research directly and indirectly investigating school discipline and exclusion and (1) disability; (2) racialisation; (3) teacher safety and relationships with students; and 4) non-punitive responses to ‘student disruption’. The insights from this body of research demonstrate the need for further research that seeks to understand exclusionary school discipline within longer histories of settler colonialism and influenced by structural factors such as racism and ableism. Further, there are opportunities for research that engages the collective capacity of schools and communities in imagining radically different approaches to school and inclusion, that transform injustices and build solidarities.

What is the real value of omics data? Enhancing research outcomes and securing long-term data excellence.

A wealth of high-throughput biological data, of which omics constitute a significant fraction, has been made publicly available in repositories over the past decades. These data come in various formats and cover a range of species and research areas providing insights into the complexities of biological systems; the public repositories hosting these data serve as multifaceted resources. The potentially greater value of these data lies in their secondary utilization as the deployment of data science and artificial intelligence in biology advances. Here, we critically evaluate challenges in secondary data use, focusing on omics data of human embryonic kidney cell lines available in public repositories. The emerging issues are obstacles faced by secondary data users across diverse domains as they concern platforms and repositories, which accept deposition of data irrespective of their species type. The evolving landscape of data-driven research in biology prompts re-evaluation of open access data curation and submission procedures to ensure that these challenges do not impede novel research opportunities through data exploitation. This paper aims to draw attention to widespread issues with data reporting and encourages data owners to meticulously curate submissions to maximize not only their immediate research impact but also the long-term legacy of datasets.

Fast Synthesis of Olefin-Linked Covalent Organic Frameworks via Supercritically Solvothermal Polymerization.

Covalent organic frameworks (COFs) are newly emerging yet rapidly developed porous crystalline polymeric materials, which feature topological designability, structural diversity, and porosity tunability. However, most of the reported COFs hitherto are prepared by a solvothermal method, which needs a long reaction time, especially for the olefin-linked COFs, which hinders their practical applications. Herein, we report the fast growth of olefin-linked COFs synthesized by the supercritical solvothermal method under supercritical carbon dioxide conditions. Via optimization of the reaction conditions, olefin-linked COFs are prepared within 6 h, which is period much shorter than that of the traditional solvothermal method. The as-obtained COFs feature two distinct morphologies, namely, spherical and rod-like. Interestingly, the rod-like crystal shows polarized light extinction and rebrightening phenomena, indicating the high crystallinity. After being doped with I2, the obtained I2@COFTMT-PA shows a Hall mobility of 1.94 cm2 V-1 S-1, indicating its potential applications in optoelectronics. This work expands the application of the supercritically solvothermal method to the fast growth of olefin-linked COFs and solves a long-standing challenge in chemical science, which opens up opportunities for basic research as well as practical applications of olefin-linked COFs and other polymeric materials.

Filamentous fungal pellets as versatile platforms for cell immobilization: developments to date and future perspectives

Filamentous fungi are well-known for their efficiency in producing valuable molecules of industrial significance, but applications of fungal biomass remain relatively less explored despite its abundant and diverse opportunities in biotechnology. One promising application of mycelial biomass is as a platform to immobilize different cell types such as animal, plant, and microbial cells. Filamentous fungal biomass with little to no treatment is a sustainable biomaterial which can also be food safe compared to other immobilization supports which may otherwise be synthetic or heavily processed. Because of these features, the fungal-cell combination can be tailored towards the targeted application and be applied in a variety of fields from bioremediation to biomedicine. Optimization efforts to improve cell loading on the mycelium has led to advancements both in the applied and basic sciences to understand the inter- and intra-kingdom interactions. This comprehensive review compiles for the first time the current state of the art of the immobilization of animal, yeast, microalgae, bacteria, and plant cells in filamentous fungal supports and presents outlook of applications in intensified fermentations, food and biofuel production, and wastewater treatment. Opportunities for further research and development were identified to include elucidation of the physical, chemical, and biological bases of the immobilization mechanisms and co-culture dynamics; expansion of the cell-fungus combinations investigated; exploration of previously unconsidered applications; and demonstration of scaled-up operations. It is concluded that the potential exists to leverage the unique qualities of filamentous fungus as a cellular support in the creation of novel materials and products in support of the circular bioeconomy.

A Comprehensive Analysis of the Synthesis, Properties and Uses of Nanofluid

Nanofluid, which is a suspension of nanoparticles, has the potential to be a heat transfer fluid with a wide range of applications due to its superior thermal conductivity and rheological properties. This article summarises both previous and current research on nanofluid heat transfer improvement. A survey was done on the most recent advancements in readiness and stability improvement. The discussion included thermophysical properties, heat transfer properties of nanofluids and the impact of surfactant, temperature, particle size, shape and other variables on thermal conductivity. The current study proposes potential possibilities through the utilisation of nanofluids. A few challenges and roadblocks were also discussed. The challenges and opportunities for further research were finally covered.

Purchase Intention of Halal Toiletries: The Role of Mediating and Moderating Effects

Research aims: This study analyzes consumers’ purchase intentions regarding halal toiletries by examining the independent variables of halal awareness, attitude, subjective norms and behavioral control. Design/Methodology/Approach: Data were collected from 260 consumers throughout questionnaires. The respondents had all purchased and used halal toiletries at least once. Hypothesis testing of the independent variable on the dependent variable was conducted using Partial Least Square (PLS) analysis, with the Smart PLS 3.0 software.Research findings: The findings indicate that halal awareness significantly influences the purchase intention of halal toiletries and has a strong impact on customer attitudes. The results also show that subjective norms influence the purchase intention of halal toiletries. Additionally, behavioral control contributes to shaping the purchase intentions. Theoretical Contribution/Originality: The study demonstrates that well-developed halal awareness significantly influences the intention to purchase halal toiletries and is a key factor in shaping consumer attitudes. The findings also highlight the role of subjective norms in forming purchase intentions, while behavioral control plays a crucial role in supporting these intentions. Practitioners/Policy Implications: The results of this study are expected to support the development of a sustainable halal industry, especially within the toiletry sector. Research Limitations/Implications: This study is limited by the indicators tested and offers opportunities for future research to explore additional variables. Future studies could incorporate a gender perspective to provide insights into differences in purchase intentions between men and women.

Exploring the Integration of Industry 4.0 Technologies in Agriculture: A Comprehensive Bibliometric Review

While it is essential to increase agricultural production to meet the needs of a growing global population, this task is becoming increasingly difficult due to the environmental challenges faced in recent decades. A promising solution to enhance the efficiency and sustainability of agricultural production is the integration of Industry 4.0 technologies, such as IoT, UAVs, AI, and Blockchain. However, despite their potential, there is a lack of comprehensive bibliometric analyses that cover the full range of these technologies in agriculture. This gap limits understanding of their integration and impact. This study aims to provide a holistic bibliometric analysis of the integration of Industry 4.0 technologies in agriculture, identifying key research trends and gaps. We analyzed relevant literature using the Scopus database and VOSviewer software (version 1.6.20, Centre for Science and Technology Studies, Leiden University, The Netherlands)and identified five major thematic clusters within Agriculture 4.0. These clusters were examined to understand the included technologies and their roles in promoting sustainable agricultural practices. The study also identified unexplored technologies that present opportunities for future research. This paper offers a comprehensive overview of the current research landscape in Agriculture 4.0, highlighting areas for innovation and development, and serves as a valuable resource for enhancing sustainable agricultural practices through technological integration.

Organizational Contribution to E-business Adoption for SMEs in The World

The aim of this study is to identify the issues faced by SMEs all around the world in adopting ebusiness. This is a work of literature study with the classification based on technological,organizational, and environmental (TOE). The study collects 116 articles from various journal portals.The finding of this study is the factors that concerned the most in adopting e-business among theSMEs which are related to the organization. The organization has a contribution of 50% compared totechnology and the environment. Under the organization, human resource is a prominent key to beimproved if the SMEs want to adopt e-business well. This situation applies in the continents of AsiaAmerica, Europe, Australia, and Oceania. Only African SMEs concern more about managementrather than human resources. This study does not consider the interplay between the factors, however,the practical implication of this study is that the finding can be used as input for decision-makers whohave an interest in improving the performance of SMEs or raising the level of SMEs in their region,one of which is by increasing the adoption rate of e-business among SMEs. Further, there is anopportunity for future research in investigating the strength of the relationship in each factor to theadoption of e-business, or even in between factors. The contribution of this study is to providethorough synopsis regarding the factors that need to be considered by the SMEs if they want to adopte-business.